Exciting Data Science Career Opportunities at American Express – Hybrid Work Model

Are you looking for a dynamic career in data science with a leading financial services company? American Express is offering exciting job openings for the Analyst – Data Science position, with the flexibility of work-from-home and hybrid options. This role is perfect for individuals with a strong educational background, including an MBA or a Master’s degree in Economics, Statistics, Computer Science, or related fields. With the rise of big data analytics, the demand for skilled data scientists is skyrocketing, making this an excellent opportunity for professionals eager to make a significant impact in the industry. If you have experience in analytics and big data workstreams and are proficient in programming languages like SAS, R, and Python, this could be the perfect fit for you!

Key Job Details

• Job Title: Analyst – Data Science
• Company: American Express
• Location: Gurugram and Bengaluru (Hybrid)
• Education Requirement: MBA, Master’s Degree in Economics, Statistics, Computer Science, or related fields
• Experience: 0-30 months in analytics and big data workstreams
• Skills Required: SAS, R, Python, Hive, Spark, SQL
• Employment Type: Full Time
• Salary Package: As per company standards
• Date Posted: November 18, 2025

About the Role

The Analyst – Data Science position at American Express is an exciting opportunity for those looking to dive into the world of data analytics. In this role, you will be responsible for analyzing large datasets to derive actionable business insights that drive decision-making across various departments. You will work closely with cross-functional teams to ensure that data-driven insights are integrated into strategic business initiatives. This involves the development, deployment, and validation of predictive models that support economic logic in risk management, fraud detection, and marketing strategies. As part of the role, you will leverage advanced analytical techniques, including supervised and unsupervised learning, to innovate and improve existing processes, making your contributions essential to the company’s success. Your ability to communicate findings clearly to leadership and partners will be crucial in ensuring that insights translate into effective business strategies.

Required Skills

• Technical Expertise: Proficiency in SAS, R, Python, Hive, Spark, and SQL is essential for handling large datasets effectively.
• Analytical Skills: Strong understanding of both supervised and unsupervised learning techniques, including decision trees, neural models, and reinforcement learning.
• Problem-Solving: Innovative thinking and the ability to work independently on complex, unstructured initiatives are key to success in this role.
• Communication: Excellent communication and interpersonal skills are required to articulate findings and collaborate with team members.
• Team Player: Ability to work effectively in a team environment and integrate with cross-functional business partners worldwide.

Responsibilities

• Data Analysis: Analyze and interpret complex data sets to extract meaningful insights that can drive business decisions.
• Model Development: Develop, deploy, and validate predictive models, ensuring alignment with business objectives.
• Collaboration: Work closely with cross-functional teams to integrate data insights into operational strategies.
• Innovative Solutions: Innovate and develop new approaches using big data and machine learning techniques.
• Continuous Learning: Stay updated with developments in finance, payments, and analytics to maintain a competitive edge.

Why Join American Express

American Express is renowned for its commitment to employee development and well-being. The company fosters a collaborative and inclusive culture, where innovation is encouraged, and diverse perspectives are valued. Employees enjoy a competitive salary package along with bonus incentives and comprehensive benefits that include medical, dental, and vision insurance. Additionally, American Express offers flexible working arrangements, generous parental leave policies, and access to wellness centers. The company is dedicated to supporting your career growth through training and development opportunities, making it an ideal workplace for professionals looking to advance their careers in data science.

Industry Trends and Value of the Position

The demand for data science professionals is rapidly increasing as businesses across all sectors recognize the importance of data-driven decision-making. With the rise of big data and analytics, roles like the Analyst – Data Science at American Express are becoming increasingly valuable. Employers are actively seeking individuals who can leverage data to create innovative solutions that enhance customer experience and optimize operational efficiency. As this trend continues, those who possess the necessary skills and experience in data science will find themselves in high demand, making this position a fantastic opportunity for career advancement in 2025 and beyond.

How to Apply

If you are ready to take the next step in your career and join a prestigious organization like American Express, click the button below to apply for the Data Science Job Openings.

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